Codes for RQ2: Lexical Bundle Analysis Across Academic Disciplines

Analysis codes from a study examining lexical bundle usage across 24 research articles in hard and soft academic disciplines. The dataset, created by Godwin Ioratim-Uba and last updated in April 2026, contains R code used to identify systematic patterns in discipline-specific writing. The findings aim to confirm learner traits as individual differences for pedagogical adaptation.

Use Cases

• Replicate statistical analysis of lexical bundle differences between hard and soft disciplines.
• Investigate systematic patterns in academic writing based on the described study methodology.
• Apply the provided R codes to new corpora of academic text for comparative analysis.

Strengths

• Data is openly licensed under CC-BY-4.0.
• The analysis is based on data extracted from 24 research articles.
• The dataset has a specific, documented purpose related to learner traits and pedagogy.

Limitations

• The dataset is very small at 2.7 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Godwin Ioratim-Uba via figshare.

Collection Method

Codes were used to analyze data extracted from 24 research articles on lexical bundles.

Freshness

Last updated 2026-04-18 09:20:43; freshness should be verified.